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Machine Learning Manager Jobs in Houston, TX (NOW HIRING)

Expand Energy

Sr. ML Ops Engineer

Spring, TX

$96K - $132K/yr

... management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation. * Communicates clearly with product managers, engineers, and ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

... AI and machine learning models to solve complex business problems across diverse domains. * Collaborate with cross-functional teams, including data scientists, product managers, and software ...

Pwc

CTIO AI Engineering Manager

Houston, TX

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

Oxy is a company that produces, markets, and transports oil and natural gas, leveraging its global leadership in carbon management. They are seeking an experienced AI Machine Learning Operations ...

Expand Energy

Data Architect

Spring, TX

$58.75 - $75.50/hr

Lead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management * Establish reusable patterns and frameworks supporting machine learning and ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Houston, TX

Machine Learning Manager information

See Houston, TX salary details

$48.7K

$78K

$112.7K

How much do machine learning manager jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning manager in Houston, TX is $78,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $88,300.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Machine Learning Manager jobs in Houston, TX? For Machine Learning Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Houston, TX look for? The top searched job categories for Machine Learning Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Manager jobs? Cities near Houston, TX with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $78,029 per year, or $37.5 per hour.
Senior Data Scientist GenAI / RAG

Senior Data Scientist GenAI / RAG

Compunnel

Houston, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary
We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.
Key Responsibilities
  • Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces.
  • Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies.
  • Design, develop, and implement machine learning algorithms to solve complex business problems.
  • Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
  • Build predictive models and statistical solutions to improve enterprise products and business outcomes.
  • Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems.
  • Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products.
  • Develop and deploy machine learning models for production environments.
  • Perform feature engineering, data preparation, and model optimization.
  • Build enterprise knowledge solutions using Generative AI technologies.
  • Work with structured and unstructured datasets to extract meaningful insights.
  • Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions.
  • Communicate technical findings and recommendations effectively to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to knowledge sharing across the team.
  • Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies.
  • Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.

Required Qualifications
  • Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields.
  • Strong experience in Machine Learning (ML) and Deep Learning (DL).
  • Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Experience developing enterprise AI and machine learning solutions.
  • Strong proficiency in Python or R.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical analysis, predictive modeling, and data modeling techniques.
  • Experience working with SQL and querying large datasets.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
  • Experience working within AWS cloud environments.
  • Experience working with Snowflake or similar enterprise data platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication, collaboration, stakeholder management, and client-facing skills.
  • Ability to work effectively with cross-functional teams in an enterprise environment.

Preferred Qualifications
  • Exposure to Agentic AI and Agent APIs.
  • Experience with Claude, Anthropic, or similar Generative AI development platforms.
  • Domain experience within the Oil & Gas or Energy industry.
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience working with enterprise software products.
  • Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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